Linear Precoding Based on Maximum SJNR in Multi-user MIMO Downlink

TANG Wan-bin; LI Shao-qian

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Linear Precoding Based on Maximum SJNR in Multi-user MIMO Downlink

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- Linear Precoding Based on Maximum SJNR in Multi-user MIMO Downlink
- Acta Electronica Sinica Vol. 35, Issue 6A, Pages: 157-160(2007)
- 作者机构：
  
  电子科技大学通信抗干扰技术国家级重点实验室,四川,成都,610054
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN92
- Published：2007
- 稿件说明：
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TANG Wan-bin, LI Shao-qian. Linear Precoding Based on Maximum SJNR in Multi-user MIMO Downlink[J]. Acta Electronica Sinica, 2007, 35(6A): 157-160.
DOI：

TANG Wan-bin, LI Shao-qian. Linear Precoding Based on Maximum SJNR in Multi-user MIMO Downlink[J]. Acta Electronica Sinica, 2007, 35(6A): 157-160. DOI：

摘要

研究多用户MIMO系统下行链路的容量

以及如何达到该容量是最近几年研究的热点.基于各用户之间干扰为零的BD(Block Diagonalization)算法

[5]

由于各用户信道空间的交叠

会造成多用户MIMO系统容量较大的损失

同时BD算法要求接入点的发射天线数不能小于空间复用用户的接收天线数之和.本文提出了基于最大化信干噪比准则下的线性预编码

和减少容量损失的次优线性预编码两种方案

避免了上述两个缺点

推导出基于最大化SJNR准则的线性预编码就是各用户采用单数据流传输的方案

同时通过容量分析和误码率仿真证明

这两种算法都优于传统的BD算法.

Abstract

What's the capacity of the mufti-user MIMO downlink and how to get the Capacity are the hot research topics in the latest yeais.The BD(Block Diagonalization) algorithm

[5]

based on the constraint which the interferences between different users are zero

have two drawbacks.One is the capacity loss because the sisal spaces of different uses are overlapped

the other is that it is required that the number of the access point's antennas must larger than the sum of the num of users' antennas.This paper presents two linear precoding algorithms.One is the optimal algorithm based on the maximization of SJNR

the other is a modified suboptimal algorithm which can improve the downlink capacity.By capacity analysis and simulation

the performances of the two algorithms both are better than BD algorithm.

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